haabe

Use when facing a new problem to classify its domain (Clear, Complicated, Complex, Chaotic, Confused) and select appropriate methods.

Use when starting implementation on a new or unfamiliar codebase. Auto-detects tech stack and sets up development context.

Use to evaluate the current state of a diamond. Checks theory gates, confidence levels, and recommends next action.

Assess delivery health metrics. For software: DORA + APEX. For content/AI/service products: product-type-appropriate metrics.

Parallel agent orchestration for OST exploration. Fan-out multiple solution explorations, fan-in results to compare and select winners.

Evaluate Mycelium's own process effectiveness. Measures cycle velocity, discard trends, confidence calibration, gate effectiveness, regression rate. Run quarterly or every 20 cycles.

Map user Jobs to be Done across functional, emotional, and social dimensions. Based on Christensen's JTBD theory.

Record findings from completed offline human tasks (interviews, observations, outreach) back into the canvas. The re-entry point after /mycelium:handoff.

Detect which external metric sources apply to this product (GitHub, Plausible, Stripe, etc.) and configure adapters. Retrofit entry point for projects that started before v0.14; also runnable to refresh source list when the product grows.

Pull snapshots from all configured metric sources, compute deltas against prior snapshots, flag unexplained signals, and draft evidence entries for canvas files. One entry point for all external product/market metrics.

Migrate a Mycelium project from legacy install (npx-degit, framework files in .claude/) to plugin install (framework lives in plugin cache, .claude/ holds project state only). Detects current install form, walks the user through plugin installation, runs the migration script, and verifies project state survived. Idempotent — safe to invoke on already-migrated projects.

Use when real user interviews aren't possible (solo/hobby/dogfood projects) but persona work is still needed. Enforces epistemic discipline: adversarial spectrum, pre-committed stop conditions, speculation tagging. NOT a substitute for /mycelium:user-interview when real users are available.

Use to build or update an Opportunity Solution Tree from research data. Never from brainstorming.

Use before starting delivery work. Pre-implementation validation checklist to ensure readiness.

Use to assess Privacy by Design compliance and GDPR/data protection alignment for a feature or system.

A/B test CLAUDE.md instruction changes against eval benchmarks. Capture baselines, test variants, compare results.

Use for self-correcting implementation. Implements the reflexion loop: implement, validate, self-critique, retry (max 3 iterations).

Structured retrospective after completing a delivery increment or diamond. Captures learning for continuous improvement.

OWASP secure design review for code and architecture. Checks input validation, authentication, authorization, data protection.

First-run setup for the Mycelium plugin. Creates project-state directories (.claude/canvas, .claude/diamonds, .claude/memory, .claude/harness) and minimal starter files in the user's project. Idempotent — re-running on an initialized project is a no-op. Run this once after installing the Mycelium plugin and before invoking other skills.

One command from "plugin installed" to "running brief on your idea." Combines /mycelium:setup (project-state initialization) and /mycelium:interview (10-minute discovery brief) into a single flow. Run this immediately after installing the Mycelium plugin — it's the recommended entry point for first-time users.

Use to conduct STRIDE threat modeling for a system or feature design.

Evaluate user-facing interfaces against Nielsen's 10 Usability Heuristics. Complements /mycelium:service-check (Downe = service-level quality, Nielsen = interface-level quality).

Guide for conducting Torres-style story-based user interviews with bias mitigation and JTBD lens.

Map user needs independently of solutions using Allen's User Needs Mapping methodology. Identifies underserved needs that feed into the Opportunity Solution Tree.

Create or update a Wardley Map of the value chain. Maps user needs, components, evolution stages, and strategic gameplay.

Explainability (XAI) audit for products containing AI components. Five-stage tier-scaled check: risk classification, stakeholder×question matrix, fidelity audit, system card, recourse path. Honest about what was validated functionally vs what needs user testing.

Compliant fixture: acknowledges wrapping convention.

Heuristic-candidate fixture: outside curated list but strong user-content signal.

Non-compliant fixture: handles user content but no wrapping acknowledgment.

Test fixture skill that writes to canvas without a Preflight block. Check 31 must surface this.

Test fixture skill that writes to canvas AND carries the Preflight block. Check 31 must pass.

Product discovery to delivery for AI agents. 45+ skills, 12+ theory gates — the agent earns the right to code. Software, courses, AI tools, services.

Product discovery to delivery for AI agents. 45+ skills, 12+ theory gates — the agent earns the right to code. Software, courses, AI tools, services.

Has description but no name field.

Valid frontmatter.

Run eval scenarios to benchmark Mycelium effectiveness. Execute tasks using reflexion loop, validate against success criteria, record metrics.

Aggregate feedback signals across all active loops. Reports health, trajectory, overdue checks, regression warnings, and Goodhart's Law violations.

Generate structured handoff materials for offline human tasks (interviews, observations, outreach). Creates actionable briefs with phone-friendly capture templates.

Use to prioritize solutions or opportunities using ICE scoring with evidence-backed confidence.

Smoke-test skill that confirms the Mycelium plugin loaded correctly. Returns a deterministic marker string for plugin-shape validation. Not for end-user invocation in normal use.

Use to assess regulatory applicability for products that may fall under AI regulation (EU AI Act, Article 50 transparency).

Use to evaluate a service or feature against Downe's 15 principles of good services.

Assess team structure against Skelton's Team Topologies. Evaluate cognitive load, interaction modes, and Conway's Law alignment.

GIST planning workflow. Structure goals into ideas, steps, and tasks using Gilad's evidence-guided framework.

Use when onboarding a new product/project. Progressive interview to understand purpose, vision, north star, and competitive landscape.

Accessibility audit against WCAG 2.1 AA. Checks semantic HTML, ARIA, keyboard navigation, color contrast, screen reader compatibility.

Use to evaluate whether current work aligns with Better Value Sooner Safer Happier. Run at diamond completion and periodically.